Lu Qi |
|
Biography[CV]
I did my Ph.D. at CSE of The Chinese University of Hong Kong, supervised by Prof. Jiaya Jia. Before that, I received the M.E. degree in Pattern Recognition and Intelligent System from Institute of Automation, The Chinese Academy of Sciences in 2017, with the supervision of Prof. Hong Qiao. And I obtained the B.E. degree in Automation and the B.S. dual degree in Financial Mathematics from Shandong University in 2014.
My research interest includes instance-level recognition (object detection, instance segmentation, panoptic segmentation) and cross modaility pretraining.
I am looking for a full-time job or postdoctoral position. Please feel free to contact me through the email.
Publications[Google Scholar]
- Open-World Entity Segmentation
Lu Qi, Jason Kuen, Yi Wang, Jiuxiang Gu, Hengshuang Zhao, Zhe Lin, Philip Torr, Jiaya Jia.
Techniqual Report, (Arxiv), 2021 - PointINS: Point-based Instance Segmentation
Lu Qi, Yi Wang, Yukang Chen, Yingcong Chen, Xiangyu Zhang, Jian Sun, Jiaya Jia.
IEEE Transactions on Pattern Analysis and Machine Intelligence, (TPAMI), 2021 - Multi-Scale Aligned Distillation for Low-Resolution Detection
Lu Qi, Jason Kuen, Jiuxiang Gu, Zhe Lin, Yi Wang, Yukang Chen, Yanwei Li, Jiaya Jia.
IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2021 - Amodal Instance Segmentation through KINS Dataset
Lu Qi, Li Jiang, Shu Liu, Xiaoyong Shen, Jiaya Jia.
IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2019 - Sequential Context Encoding for Duplicate Removal
Lu Qi, Shu Liu, Jianping Shi, Jiaya Jia.
Thirty-second Conference on Neural Information Processing Systems, (NeurIPS), 2018. - Path Aggregation Network for Instance Segmentation Shu Liu, Lu Qi, Haifang Qin, Jianping Shi, Jiaya Jia. IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2018 (Spotlight Presentation) Ranked No. 1 of COCO 2017 Detection Challenge in Instance Segmentation Track Ranked No. 2 of COCO 2017 Detection Challenge in Object Detection Track Ranked No. 1 of 2018 Scene Understanding Challenge for Autonomous Navigation in Unstructured Environments Instance Segmentation Track
- CANet: Co-attention Network for RGB-D Semantic Segmentation
Hao Zhou, Lu Qi, Hai Huang, Xu Yang, Zhaoliang Wan, Xianglong Wen.
Pattern Recognition, (PR), 2021 - Image Synthesis via Semantic Composition
Yi Wang, Lu Qi, Yingcong Chen, Xiangyu Zhang, Jiaya Jia.
International Conference on Computer Vision, (ICCV), 2021 - ICM-3D: Instantiated Category Modeling for 3D Instance Segmentation
Ruihang Chu, Yukang Chen, Tong Kong, Lu Qi, Lei Li.
IEEE Robotics and Automation Letters, (RAL), 2021 - Scale-aware Automatic Augmentation for Object Detection
Yukang Chen, Yanwei Li, Tao Kong, Lu Qi, Ruihang Chu, Lei Li, Jiaya Jia.
IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2021 - LAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-Resolution and Beyond
Wenbo Li, Kun Zhou, Lu Qi, Nianjuan Jiang, Jiangbo Lu, Jiaya Jia.
Thirty-fourth Conference on Neural Information Processing Systems, (NeurIPS), 2020 - RGB-D Co-attention Network for Semantic Segmentation
Hao Zhou, Lu Qi, Zhaoliang Wan, Hai Huang, Xu Yang.
15th Asian Conference on Computer Vision, (ACCV), 2020 - MuCAN: Multi-Correspondence Aggregation Network for Video Super-Resolution
Wenbo Li, Xin Tao, Taian Guo, Lu Qi, Jiangbo Lu, Jiaya Jia.
16th European Conference on Computer Vision, (ECCV), 2020
Competitions
- No. 1 of 2018 Scene Understanding Challenge for Autonomous Navigation in Unstructured Environments Instance Segmentation Track
- No. 1 of COCO 2017 Detection Challenge in Instance Segmentation Track | slides
- No. 2 of COCO 2017 Detection Challenge in Object Detection Track
- No. 1 of LSUN'17 Instance Segmentation Challenge
- No. 3 of SpaceNet Challenge in Topcoder 2017
- No. 4 of Bike Sharing Demand in Kaggle 2014
Honors & Awards
| Hong Kong Ph.D. Fellowship (231 candidates in Hong Kong) | 2017-2021 |
| The President Scholarship of Shandong University (highest honor) | 2013 |
| Baogang Steel Scholarship (top 0.5%) | 2013 |
| Excellent Student in Shandong Province | 2013 |
| National Scholarship (thrice) | 2011-2013 |
Research Experiences
- Visitor | University of Oxford, Oxford | Jan 2021 – Jul 2021 Mentor: Dr. Hengshuang Zhao and Prof. Philip Torr Topic: Hand Parsing and Reconstruction
- Remote Collaboration | Adobe Research, Hong Kong | Jun 2020 – Jan 2021 Mentor: Dr. Jason Kuen, Dr.Jiuxiang Gu and Dr. Zhe Lin Topic: General Detection and Segmentation
- Research Intern | Megvii Technology (Face++), Beijing | June 2019 – May 2020 Mentor: Dr. Xiangyu Zhang Topic: Object Detection and Instance Segmentation
- Research Intern | Youtu Lab, Tencent, Shenzhen | May 2018 – May 2019 Mentor: Dr. Shu Liu and Dr. XiaoYong Shen Topic: Instance Segmentation for Autonomous Driving
- Research Intern | SenseTime, Beijing | Nov. 2016 – Oct. 2017 Mentor: Dr. Jianping Shi Topic: Instance Segmentation with RGB Data
Teaching
| CSCI1120 Introduction to C++ | Fall | 2019-2020 |
| CSCI2100B Data Structure | Spring | 2018-2019 |
| ENGG1100 Introduction to Engineering Design | Fall | 2018-2019 |
| CSCI3120 Compile Construction | Spring | 2017-2018 |